Energy consumption and economic growth in China: A reconciliation

Energy Policy

Volumn 41, Issue , 2012, Pages 666-675

  Talha Yalta, A ^a   Cakar, Hatice ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Bootstrap; Causality; China

Indexed keywords

ASYMPTOTIC DISTRIBUTIONS; BIVARIATE; BOOTSTRAP; CAUSAL RELATIONSHIPS; CAUSALITY; CAUSALITY TESTING; CHINA; COARSE AGGREGATES; DATA GENERATION; DISAGGREGATED ENERGY CONSUMPTION; ECONOMIC GROWTHS; MAXIMUM ENTROPY; MODEL ESTIMATION; NEUTRALITY HYPOTHESIS; PEOPLE'S REPUBLIC OF CHINA; POLICY-ORIENTED; SAMPLE SIZES; SIMULATION-BASED; TYPE-I ERROR;

ECONOMICS; ENERGY UTILIZATION; TIME SERIES;

ECONOMIC AND SOCIAL EFFECTS;

BOOTSTRAPPING; ECONOMIC GROWTH; ECONOMIC HISTORY; ENERGY USE; ENTROPY; GROSS DOMESTIC PRODUCT; MULTIVARIATE ANALYSIS;

CHINA;

EID: 84855931348     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2011.11.029     Document Type: Article

References (45)

1. Akarca A.T., Long T.V. On the relationship between energy and GNP: a reexamination. Journal of Energy and Development 1980, 5:326-331.
2. Balcilar M., Ozdemir Z.A., Arslanturk Y. Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics 2010, 32:1398-1410.
3. Chen S.-T., Kuo H.-I., Chen C.-C. The relationship between GDP and electricity consumption in 10 Asian countries. Energy Policy 2007, 35:2611-2621.
4. Davidson R., MacKinnon J.G. The size distortion of bootstrap tests. Econometric Theory 1999, 15:361-376.
5. Efron B. The Jackknife, the Bootstrap and Other Resampling Plans 1982, Society for Industrial and Applied Mathematics, Philadelphia.
6. Elliott G., Rothenberg T.J., Stock J.H. Efficient tests for an autoregressive unit root. Econometrica 1996, 64:813-836.
7. Ghali K.H., El-Sakka M.I.T. Energy use and output growth in Canada: a multivariate cointegration analysis. Energy Economics 2004, 26:225-238.
8. Granger C. Aggregation of time-series variables: a survey. Disaggregation in Econometric Modeling 1990, 17-34. Routledge, London. T. Barker, M.H. Pesaran (Eds.).
9. Hacker R.S., Hatemi-J A. Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application. Applied Economics 2006, 38:1489-1500.
10. Horowitz J.L. The bootstrap in econometrics. Statistical Science 2003, 18:211-218.
11. Hsiao C., Shen Y., Fujiki H. Aggregate vs disaggregate data analysis-a paradox in the estimation of money demand function of Japan under the low interest rate policy. Journal of Applied Econometrics 2005, 20:579-601.
12. Hyndman R.J. Computing and graphing highest density regions. American Statistician 1996, 50:120-126.
13. Hyndman, R.J., 2010. Package 'hdrcde'. R Package version 2.13. http://cran.r-project.org/web/packages/hdrcde/index.html.
14. International Monetary Fund, 2010. World economic outlook database, April 2010. http://www.imf.org/external/pubs/ft/weo/2010/02/weodata/index.aspx.
15. Karanfil F. How many times again will we examine the energy income nexus using a limited range of traditional econometric tools?. Energy Policy 2009, 37:1191-1194.
16. Kraft J., Kraft A. On the relationship between energy and GNP. Journal of Energy and Development 1978, 3:401-403.
17. Lach L. Application of bootstrap methods in investigation of size of the Granger causality test for integrated VAR systems. Managing Global Transitions 2010, 8:167-186.
18. Lewbel A. Aggregation and simple dynamics. American Economic Review 1994, 84:905-918.
19. MacKinnon J.G. Bootstrap inference in econometrics. Canadian Journal of Economics 2002, 35:615-645.
20. MacKinnon, J.G., 2006. Bootstrap methods in econometrics. QED Working Paper No. 1028. http://ideas.repec.org/p/qed/wpaper/1028.html.
21. Mantalos P. A graphical investigation of the size and power of the Granger-causality tests in integrated-cointegrated VAR systems. Studies in Nonlinear Dynamics and Econometrics 2000, 4:17-33.
22. Narayan P.K., Prasad A. Electricity consumption-real GDP causality nexus: evidence from a bootstrapped causality test for 30 OECD countries. Energy Policy 2008, 36:910-918.
23. Ozturk I. A literature survey on energy-growth nexus. Energy Policy 2010, 38:340-349.
24. Pesaran H.M. On aggregation of linear dynamic models: an application to life-cycle consumption models under habit formation. Economic Modelling 2003, 20:383-415.
25. Press Release Point, 2010. China aims to cut energy intensity 17.3 percent by 2015. (accessed 10.12.2010). http://www.reuters.com/article/2010/10/18/us-china-energy-intensity-idUSTRE69H0T020101018.
26. Press Release Point, 2011. China takes lead in race for clean nuclear power. (accessed 01.02.2011). http://www.wired.com/wiredscience/2011/02/china-thorium-power.
27. Shiu A., Lam P.-L. Electricity consumption and economic growth in China. Energy Policy 2004, 32:47-54.
28. Soytas U., Sari R. Can China contribute more to the fight against global warming?. Journal of Policy Modeling 2006, 28:837-846.
29. Soytas U., Sari R. The relationship between energy and production: evidence from Turkish manufacturing industry. Energy Economics 2007, 29:1151-1165.
30. The World Bank, 2010. World Developent Indicators 2010. Washington, DC. http://data.worldbank.org/data-catalog/world-development-indicators.
31. Toda H.Y., Yamamoto T. Statistical inference in vector autoregression with possibly integrated processes. Journal of Econometrics 1995, 66:225-250.
32. U.S. Energy Information Administration, 2011. Country analysis briefs, China. http://www.eia.gov/EMEU/cabs/China/pdf.pdf.
33. Vinod H.D. Bootstrap methods: applications in econometrics. Handbook of Statistics 1993, vol. 11:629-661. North Holland, Elsevier, New York.
34. Vinod H.D. Ranking mutual funds using unconventional utility theory and stochastic dominance. Journal of Empirical Finance 2004, 11:353-377.
35. Vinod H.D. Hands-On Intermediate Econometrics Using R 2008, World Scientific Publishing Ltd., Singapore. first ed.
36. Vinod, H.D., 2010. New solution to time series inference in spurious regression problems. SSRN Working Paper Series. http://ssrn.com/paper=1560074.
37. Vinod H.D., de Lacalle J.L. Maximum entropy bootstrap for time series: the meboot R package. Journal of Statistical Software 2009, 29(5):1-19.
38. Wang Y., Gu A., Zhang A. Recent development of energy supply and demand in China, and energy sector prospects through 2030. Energy Policy 2011, 39(11):6745-6759.
39. Yalta A.T. Analyzing energy consumption and GDP nexus using maximum entropy bootstrap: the case of Turkey. Energy Economics 2011, 33:453-460.
40. Yuan J., Zhao C., Yu S., Hu Z. Electricity consumption and economic growth in China: cointegration and co-feature analysis. Energy Economics 2007, 29:1179-1191.
41. Yuan J.-H., Kang J.-G., Zhao C.-H., Hu Z.-G. Energy consumption and economic growth: evidence from China at both aggregated and disaggregated levels. Energy Economics 2008, 30:3077-3094.
42. Zhang X.-P., Cheng X.-M. Energy consumption, carbon emissions, and economic growth in China. Ecological Economics 2009, 68:2706-2712.
43. Zhang Y.T., Li W. Study on causal relationship between coal consumption and economic growth in China. Resources and Industries 2007, 9:89-93.
44. Zhou N., Levine M.D., Price L. Overview of current energy-efficiency policies in China. Energy Policy 2010, 38:6439-6452.
45. Zou G., Chau K. Short- and long-run effects between oil consumption and economic growth in China. Energy Policy 2006, 34:3644-3655.